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DATAECONOMY Tech Stack

Data and AI consulting focused on platform modernization and monetization

Information Technology & Services Dublin, Ohio 201–500 employees Founded 2018 Privately Held

DATAECONOMY is a data and AI consultancy built around cloud infrastructure (AWS, Azure, GCP) and modern data-stack tooling (Databricks, Snowflake, Airflow, dbt, Neo4j). The hiring profile is data-heavy (17 of 22 core roles) with senior practitioners dominating, suggesting deep delivery focus on platform builds rather than pure staffing. Active migration projects (Exadata to AWS, database migrations) and lakehouse architecture work indicate clients mid-transformation, not early-stage.

Tech Stack 84 technologies

Core StackAWS Apache Airflow AWS Glue Databricks Redshift PySpark AWS Lambda dbt Snowflake BigQuery DynamoDB Java Python Collibra Neo4j Azure Azure Synapse SQL Athena Git GCP Amazon Connect Oracle Exadata Amazon RDS Amazon Aurora AWS EBS AWS Database Migration Service Oracle Data Pump Cloudera DataRobot+52 more

AdoptingDocker Kubernetes Iceberg Parquet

What DATAECONOMY Is Building

◆Challenges

Performance and cost-efficiency
Data quality and consistency
Scalable secure high-performance data solutions
Data security compliance governance
Real-time data processing
Expanding global marketing engine
Cloud infrastructure optimization
System performance improvement
Scalability and reliability
Regulatory reporting compliance

▲Active Projects

Next-generation data platform
Real-time data processing solution
Data lakehouse architecture
Content calendar development
Lead funnel creation
Digital campaign execution
Enterprise-scale data vault 2.0 implementation
Bcbs 239 compliance project
Exadata to aws cloud migration
Aws database migration service implementation

Hiring Activity

Steady30 roles · 10 in 30d

Department

Data

17

Engineering

5

Marketing

1

Seniority

Senior

18

Lead

2

Mid

2

Manager

1

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About DATAECONOMY

DATAECONOMY delivers enterprise data and AI consulting services, specializing in platform modernization, data mesh, data governance, and cloud enablement. The company operates across multiple cloud providers (AWS, Azure, GCP) and serves mid-market to enterprise clients navigating legacy-to-modern transitions—particularly Exadata migrations and cloud infrastructure optimization. With 201–500 employees headquartered in Dublin, Ohio, the firm emphasizes senior-level delivery talent and outcome-based engagement models. Recent project focus spans data lakehouse architectures, real-time processing solutions, and compliance frameworks (BCBS 239 regulatory reporting).

HeadquartersDublin, Ohio

Company Size201–500 employees

Founded2018

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does DATAECONOMY use?

AWS, Azure, GCP, Databricks, Snowflake, Redshift, Apache Airflow, dbt, PySpark, Neo4j, BigQuery, Collibra, and Cloudera. Currently adopting Docker, Kubernetes, Parquet, and Iceberg.

What projects is DATAECONOMY working on?

Next-generation data platform builds, real-time data processing solutions, data lakehouse and data vault 2.0 architectures, Exadata-to-AWS migrations, BCBS 239 compliance projects, and enterprise-scale cloud enablement.